LAB TEAM

  • Team of the Cancer Genomics and BioComputing Lab
    Dr. Milana Frenkel Morgenstern
    Dorith Raviv Shay
    Vikrant Palande
  • Gon Carmi
    Mahua Bhattacharya
    Rajesh Detroja
    Alessandro Gorohovski

Dr. Milana Frenkel Morgenstern

Dr. Milana Frenkel Morgenstern

Senior Lecturer, Principal Investigator and head of the Cancer Genomics and BioComputing of Complex Diseases lab.

Milana Frenkel-Morgenstern has completed her Ph.D at the Weizmann Institute of Science and postdoctoral studies from Spanish National Cancer Research Centre (CNIO). She has published more than 25 papers in reputed journals and serving as an editorial board member of repute. She is a founder of the Art in Science competition at the ISMB conference since 2008, a chair of the ISCB affiliated Israeli Bioinformatics group, and a head of the experimental genomics and computational group at the Azrieli faculty of Medicine, Bar-Ilan University.

Dr. Dorith Raviv Shay

Dr. Dorith Raviv Shay

Lab manager

Dr. Raviv Shay is an experienced scientist with hands-on experience in molecular genetics and biochemistry. Dr. Raviv Shay acquired her MSc in biochemistry from Hebrew University and her PhD in molecular genetics from Tel Aviv University. Prior to joining Dr. Frenkel-Morgenstern, Dr. Raviv-Shay has worked as a project manager at Protalix Biotherapeutics and as a Research Associate at the Institute of Human Genetics at the Western Galilee Medical Center in Nahariya. Her responsibilities in the lab include guiding students, managing ongoing research operations, and planning, conducting and analyzing biological experiments to provide experimental proof for predicted computational bioinformatics data.

Vikrant Palande

Vikrant Palande

Ph.D. Student

Ph.D. Project Title: Circulating free DNA for cancer diagnosis.
This research focuses on cancer diagnostics study by using high throughput genomic sequencing. Vikrant Palande is studying the newly emerging technique called ‘liquid biopsy’ which is a non-invasive approach of cancer diagnosis, using circulating cell-free DNA. This technique utilizes blood or urine sample to analyze the bits of tumor material (molecules as well as whole cells) for the diagnosis of tumor (if any) inside the person’s body.

Gon Carmi

Gon Carmi

Ph.D. Student

Ph.D. Project Title: Design principles of protein evolution and metagenomics.
Gon has a Masters in Bioinformatics where he studied DNA segmentation methods and developed a segmentation method based on word frequencies.
In his PhD research he focuses on developing a mathematical model of protein evolution by means of protein domain dynamics and assemble a comprehensive database from diverse taxa.
The database provides a platform to implement and evaluate the model. The model is tested on metagenome data-sets derived from soil samples. Additional related research topics which are studied by Gon are comparative analysis of disordered regions in proteins, protein-protein interaction networks between above-ground and subterranean animals and host-virus interactions.

Mahua Bhattacharya

Mahua Bhattacharya

Ph.D. Student

Tentative Ph.D. Project Title: Studying and identifying chromosomal translocation in disease condition.

Rajesh Detroja

Rajesh Detroja

Ph.D. Student

Ph.D. Project Title: Pedigree analyses to uncover personalized biomarkers in Rheumatoid and Psoriatic Arthritis.
Rajesh Detroja has obtained M.Sc. degree in Bioinformatics and gained 2 years of NGS data analysis experience from Xcelris Genomics company, India.
In his Ph.D. research, he focuses on an in-silico pedigree analysis of families affected with Rheumatoid Arthritis (RA) and Psoriatic Arthritis (PsA) to predict novel personalized molecular biomarkers that can provide an opportunity to improve the quality of life via early detection and timely treatment. A goal of his Ph.D. research is to perform a Next Generation Sequencing (NGS) of families affected with RA and PsA and their bioinformatics analysis that will include the discovery of single–nucleotide polymorphism (SNPs), identification of structural variants (SV), chimeric genes and detection of microbiomes associated with the diseases, to reveal novel biomarkers which could be applied for future genetic personalized diagnostics and treatment.

Dr. Alessandro Gorohovski

Dr. Alessandro Gorohovski

Collaborator in Computational Biology

Dr. Alessandro Gorohovski did his PhD in Chemistry (Physchemistry & Inorganic Chemistry) at Donetsk National Technical University (well known as, Donetsk Politechnic Institute, DPI), Ecology and Chemical Technology Department (Alma Mater). Then Dr. Alessandro Gorohovski finished Computer Sciences at DPI, Information Technology Department and worked as associate professor (a lecturer) at DPI and National Technical University of Ukraine «Kiev Politechnic Institute» (KPI). His scientific interests include: Bioinformatics & Cheminformatics; Databases of Bio-Chemical, Ecological and Toxicological information; Biometric statistics; Mathematical modelling.